Data Engineer (Azure & Databricks)

Candidate Description

With a robust track record in modern data engineering, this professional leverages deep expertise in Azure, a Data Platform Provider and Synapse Analytics to deliver high-performance, cost-effective data platforms. Their background spans healthcare, insurance and financial services, drawing on advanced academic credentials in Data Science and Banking & Finance to translate complex requirements into scalable solutions.

Technically, they engineer metadata-driven ELT pipelines, orchestrate Azure Data Factory workflows and craft Python-based REST APIs for seamless data ingestion. Adept at Agile delivery and CI/CD with Azure DevOps and GitHub, they have led successful migrations—such as transitioning a Healthcare Provider’s platform from Synapse to Azure Datawarehouse—and managed £20 million-plus premium datasets for an Insurance Group, supporting BI, ML and FCA reporting. Their skill set encompasses SQL, SSIS, ADLS, Blob Storage and Machine Learning models, including an XGBoost classifier that strengthened fraud detection for a Consulting Firm.

Known for collaborative leadership, they bridge technical and business domains, mentoring teams, gathering stakeholder requirements and championing best practices in documentation and governance. This adaptability across industries and project scopes positions them as a strategic asset, capable of accelerating data-driven initiatives and generating tangible business value through optimized architectures and insightful analytics.